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SUMMARY:What is topological data analysis and why you should do it?
DTSTART:20260601T133000Z
DTEND:20260601T153000Z
DTSTAMP:20260608T131400Z
UID:indico-event-9700@indico.fysik.su.se
DESCRIPTION:Speakers: Henri Riihimäki (Stockholm University)\n\nTopologic
 al data analysis arose from the idea of employing tools of algebraic topol
 ogy to study the "shape" of data. Its catalyst can be traced to the algebr
 aic explanation provided in 2005\, and since then the field has lead to bo
 th evolving mathematical theory and vast landscape of applications. In thi
 s talk I will give an overview of the main tool of topological data analys
 is\, persistent homology\, and explain how it can characterize high-dimens
 ional qualitative structures from both complex\, non-linear point set and 
 network data that other data analytical tools do not capture. The talk is 
 motivated by example applications from different areas of physics.\nzoom :
  https://stockholmuniversity.zoom.us/j/622224375\n \n\nhttps://indico.fys
 ik.su.se/event/9700/
LOCATION:Albano 3: 6228 - Mega (22 seats) (Albano Building 3)
URL:https://indico.fysik.su.se/event/9700/
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